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Manufacturing Intelligence for Apparel Quality

Quality Control for Every Garment. Perfectly.|

Millimeter-precise garment measurements in less than 2 seconds - fully automated, fully auditable.

0sec Per Garment
0% Inspection Rate
±0mm Precision
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01

The Problem

Quality at Scale Is Broken

The global garment industry operates on speed, volume, and razor-thin margins — yet quality control remains largely manual, slow, and incomplete.

30–60s

per garment with traditional manual measurement

Limited QC

Inspectors can only check a fraction of production

5-10mm

deviation triggers buyer rejections and lost orders

$Billions

lost annually to defects, rework, and disputes

Because traditional QC is slow

100% inspection is economically impossible

Defects escape Non-compliant pieces ship Brands absorb losses
02

The Argus Solution

End-to-End Automated Measurements & Defects

2 seconds
6
Lines
25s
Cycle
0
Pass
0
Rework
0
Fail
0
Packed · shipping
Flow Garment Reject → rework Argus Defect camera Scan head Knowledge loop

Pixel-Accurate AI

Geometry-aware measurement logic with camera-based non-contact inspection. Reliable even at scale.

Deterministic Pipelines

Same garment. Same result. Every time. No fatigue, no subjectivity, no variation.

Tamper-Proof Data

Fully traceable, authentic QC data visible across factory, buyer, brand, and retailer. No disputes.

Fortress-Grade Privacy

Every metric stays inside your company. Nothing gets out. No other factory sees your numbers — ever. Top-of-the-line encryption, zero interception.

03

Live Demo

Real measurement data from an actual garment — rendered as a 3D point cloud with automated measurement lines.

Loading point cloud…
LIVE MEASUREMENT
04

The Impact

Real Savings at Industrial Scale

The garment industry is valued at $1.7+ trillion globally. Even a small reduction in defect leakage saves millions.

Faster Inspection

Higher throughput with 10× faster measurements

100% Inspection

Every garment measured — no more sampling

Reduced Rework

Accurate QC catches issues before shipment

Buyer Trust

Transparent, auditable data strengthens relationships

Potential annual industry savings
$0M+
05

On The Floor

Integrations in progress

Fourteen manufacturers have
watched Argus run live.

These groups came to see the system measure real garments on a real line — not a slide deck. Every one of them asked the same question afterward: how soon can we put this on our floor?

We're now working through integration with them. Between them, they cut and ship for the brands in the second row.

14 manufacturers · live demo completed
Zon Ron Sweaters
Sadma Group
KA Design Wear
Laila Group
Queen South
Fortis Group
Asmara
Centro
Floreal
Sonia Group
SQ Group
CKDL
TJ Sweaters
Laurels Fashion
Brands they produce for
H&M
Zara
Primark
Marks & Spencer
Next
C&A
Walmart
Tommy Hilfiger
Calvin Klein
Hugo Boss
Abercrombie & Fitch
Columbia
Fila
Lidl
Aldi
s.Oliver
Benetton
Tom Tailor
Peak Performance
Ross Stores
Dunnes Stores
New Yorker
Pepco
Zeeman

Manufacturers shown have seen a live Argus demo and are in active integration discussions — they are not yet production customers. Brand names refer to buyers publicly listed by those manufacturers, and are shown to indicate the scale of the supply chain Argus is being deployed into. All marks belong to their respective owners.

06

Built for What's Next

Today

Precise Measurements

Millimeter-accurate automated garment measurement — the hardest technical challenge in QC. We started here.

Next

Defect Detection

Automated identification of fabric defects, stains, holes, and surface irregularities.

Coming

Full Visual Intelligence

Stitch & seam analysis, part mismatch detection, cutting inconsistencies — complete visual quality intelligence.

Powered By

Advanced Camera Systems Computer Vision 3D Reconstruction Edge Computing Production-Grade Backend Industrial Reliability
07

The Team

People who have run the floor,
building for the floor.

The hard part of garment QC was never the model on its own — it's everything around it: the line, the lighting, the operators, the buyer on the other end of the report. Argus is built by people who have lived both halves of that problem.

Subhasis Gupta

Subhasis Gupta

Chief Executive Officer

26 years in apparel innovation and business leadership. Founded six businesses and created 5,000+ jobs. Leads operations, supply chain, and finance.

Sharafat Kabir Shajid

Sharafat Kabir Shajid

Chief AI Engineer

5+ years building computer vision systems and the software around them. Leads Argus end to end — LiDAR and camera capture, measurement geometry, and the models that turn a point cloud into a measurement.

MD. Maruf Ahmed

MD. Maruf Ahmed

Senior AI Engineer

Builds the distributed systems that carry Argus from the capture rig to the report — high-throughput inference, embedded integration on the line, and model lifecycle management.

Syed Akif Ahmed Karim

Syed Akif Ahmed Karim

Machine Learning Engineer

Trains and optimizes the vision models at the core of Argus. Owns the training pipeline and the accuracy work — the millimeters everything else depends on.

The Future of Garment QC
Is Automated

Quality control should be fast, accurate, transparent, and scalable. Argus makes that possible — today.

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